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Quant Research Jobs (NOW HIRING)

Anson McCade

Quant Research Analyst

Austin, TX · On-site

$120K - $150K/yr

Permanent Quant Research Analyst (Houston) Anson McCade are working with a Portfolio Manager based in Austin, Texas, who is running a mid-frequency equity team covering Stat Arb trading. They are ...

ITech Recruiting

Quant Research Analyst

Manhattan, NY · On-site

Employ a variety of mathematical disciplines and analytical skills in performing historical research, data analysis, and model optimization studies. Work closely with Quantitative Analysts and ...

TIFIN

Lead, Quant AI Investments, TIFIN.ai

Boulder, CO

$150K - $225K/yr

You will translate cutting-edge quantitative research and AI capabilities into scalable, revenue-generating investment products. THE ROLE: * Lead the full lifecycle of quantitative model development ...

Stealth

MO

Startup revolutionizing quantitative trading research is searching for a part-time inside sales person (sales experience not needed) for incoming institutional sales and questions. Our cloud research ...

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How much do quant research jobs pay per year?

As of Aug 19, 2026, the average yearly pay for quant research in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is quant research?

Quantitative Research, often called 'Quant Research,' involves applying mathematical models, statistical techniques, and data analysis to financial and investment problems. Quant researchers typically work in finance or investment firms, where they develop algorithms and strategies for trading, risk management, or portfolio optimization. Their work relies heavily on programming, mathematics, and analytics to interpret large datasets and make data-driven decisions. Quant Research roles often require advanced degrees in fields such as mathematics, physics, computer science, or engineering.

What are the key skills and qualifications needed to thrive as a quant researcher?

To thrive as a Quant Researcher, you need strong quantitative analysis, statistical modeling, programming expertise (often in Python, R, or C++), and typically an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with data analysis platforms, machine learning libraries, and financial market data systems is essential. Analytical thinking, attention to detail, and effective communication help you present complex findings clearly and collaborate across multidisciplinary teams. These skills and qualities are crucial for developing robust trading strategies and making data-driven decisions in highly competitive financial environments.

What are the common challenges faced by quant researchers when working with large datasets, and how can they be addressed?

Quant Researchers often encounter challenges such as data quality issues, incomplete records, and computational limitations when handling large datasets. It's essential to implement robust data cleaning and validation processes to ensure accuracy. Leveraging high-performance computing resources and efficient algorithms can help manage computational demands. Additionally, collaborating closely with data engineers and IT teams can streamline data access and workflow, allowing researchers to focus on model development and analysis.

What is the difference between Quant Research vs Quant Analyst?

AspectQuant ResearchQuant Analyst
Required CredentialsTypically requires advanced degrees (Master's or PhD) in quantitative fields, strong programming skillsOften requires similar degrees, with a focus on applying models to trading or investment strategies
Work EnvironmentResearch-focused, often in labs or dedicated research teams within financial firmsMore application-oriented, working closely with trading desks or portfolio managers
Employer & Industry UsageCommon in hedge funds, investment banks, and asset management firmsWidely used in trading firms, hedge funds, and asset management companies

While both roles require strong quantitative skills and similar educational backgrounds, Quant Researchers primarily focus on developing new models and theories, whereas Quant Analysts apply these models to support trading decisions and manage portfolios. The roles often overlap but differ in their core focus and daily tasks.

How much does a quant researcher make?

A quant researcher typically earns between $80,000 and $200,000 annually, with senior roles and those in major financial centers earning higher salaries. Compensation often includes bonuses and profit-sharing, especially in hedge funds and investment banks, and requires strong skills in mathematics, programming, and financial modeling.

What does a quant researcher do?

A quant researcher develops mathematical models and algorithms to analyze financial data and identify trading opportunities. They use programming languages like Python or R, and often work with large datasets to inform investment strategies or risk management. Strong analytical skills and knowledge of finance and statistics are essential for this role.
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quant research jobs near you
Infographic showing various Quant Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

Quant Research Analyst

Anson McCade

Austin, TX • On-site

$120K - $150K/yr

Full-time

Re-posted 12 days ago

Job description

$120,000-150,000 USD
Discretionary end of year bonus
Onsite WORKING
Location: Austin, Austin, Texas - United States Type: Permanent
Quant Research Analyst (Houston)
Anson McCade are working with a Portfolio Manager based in Austin, Texas, who is running a mid-frequency equity team covering Stat Arb trading. They are looking for a Quant with experience in strategy research and portfolio construction to join the team, with a pathway to a more senior alpha research role or a PM seat.
The Role:
  • Portfolio construction and optimisation for mid-frequency equity trading
  • Researching new strategies and exploring opportunities to scale up and improve these models
  • Collaborate with other team members across a range of quantitative disciplines
Requirements:
  • 2+ years of experience in a Quantitative Analyst or Research position
  • Strong experience in Python or R
  • Machine Learning experience is preferred
  • An advanced degree, preferably a Master's degree or higher

Apply